代码搜索：Algorithm

找到约 10,000 项符合「Algorithm」的源代码

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
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crt ca-bundle.crt

## ## ca-bundle.crt -- Bundle of CA Root Certificates ## Last Modified: Fri Oct 22 17:15:27 CEST 1999 ## ## This is a bundle of X.509 certificates of public ## Certificate Authorities (CA). These
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www.eeworm.com/read/461382/7228280

c ratematch.c

/* RateMatch performs the basic HSDPA Rate Matching algorithm The calling syntax is: y = RateMatch( x, X_i, e_ini, e_plus, e_minus ) y = output of rate matching algorithm
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www.eeworm.com/read/461382/7228306

m ratedematch.m

function y = RateDematch( x, X_i, e_ini, e_plus, e_minus ); % RateDematch reverses the basic UMTS/HSDPA Rate Matching algorithm % % The calling syntax is: % y = RateDematch( x, X_i, e_ini, e_p
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www.eeworm.com/read/461382/7228307

m ratematch.m

function y = RateMatch( x, X_i, e_ini, e_plus, e_minus ) % RateMatch performs the basic UMTS/HSDPA Rate Matching algorithm % % The calling syntax is: % y = RateMatch( x, X_i, e_ini, e_plus, e_
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www.eeworm.com/read/459528/7274342

m normvect.m

function [x_norm,x_mag] = normvect(x) % [x_norm, x_mag] = normvect(x); % % Function to normalize n-dimensional vectors to have length of 1. % % Input: % x - vector to be normalized (n
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www.eeworm.com/read/455289/7373971

cpp main.cpp

#include #include #include #include using namespace std; int main(void){ deque d; d.push_back(12); d.push_back(13); // front_insert_iter
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www.eeworm.com/read/445993/7586939

m dbpa mspc.m

%% % DBPA - Distance Based Power Alocation Algorithm%%%%%%%%%%%%%%%%%%%%%% % % in this progarm mobiles are uniformally distributed within%%%%%%%%%%% % the cell to allow varing power for the D
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asv dbpa mspc.asv

%% DBPA - Distance Based Power Alocation Algorithm%%%%%%%%%%%%%%%%%%%%%% % in this progarm mobiles are uniformally distributed within%%%%%%%%%%% % the cell to allow varing power for the Downlin
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www.eeworm.com/read/442397/7653553

cpp tpower.cpp

/***************************************************************************** TPower.cpp -- Power model *****************************************************************************/ #include
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www.eeworm.com/read/441824/7664329

m rankboost_train.m

function [model,time_taken]=RankBoost_train(data,T,verbose,plot_enable) % RankBoost Training % %Y. Freund, R. Iyer, and R. Schapire, 揂n efficient boosting algorithm for combining preferences,
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